Differential cloud cluster extrapolation rainfall forecasting algorithm based on Hu moments

A prediction algorithm and cloud technology, which can be used in weather forecasting, measurement devices, radio wave measurement systems, etc., and can solve the problem of insufficient accuracy

Inactive Publication Date: 2017-11-17
HUNAN NORMAL UNIVERSITY
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Problems solved by technology

In addition, the cloud extrapolation algorithm uses two cloud images at adjacent times as input data, and the accuracy may not be high enough

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  • Differential cloud cluster extrapolation rainfall forecasting algorithm based on Hu moments
  • Differential cloud cluster extrapolation rainfall forecasting algorithm based on Hu moments
  • Differential cloud cluster extrapolation rainfall forecasting algorithm based on Hu moments

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Embodiment Construction

[0037] Severe convective weather refers to disastrous weather that occurs suddenly, moves rapidly, changes violently, and is extremely destructive in meteorology. It mainly manifests in thunderstorms, tornadoes, hail, and local heavy rainfall. Severe convective weather occurs in convective clouds. It belongs to small and medium-scale weather systems with small spatial scales. The general horizontal range is about a dozen kilometers to two to three hundred kilometers. The horizontal scale is generally less than 200 kilometers. Some horizontal ranges are only tens of meters to Ten kilometers. Its life history is short and has obvious suddenness, about one hour to more than ten hours, and the shorter one is only a few minutes to one hour. When strong convective weather comes, it is often accompanied by severe weather such as lightning, thunder, heavy wind and rain, causing houses to collapse, crops and trees to be destroyed, telecommunications and traffic damaged, and even casual...

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Abstract

The invention relates to a differential cloud cluster extrapolation rainfall forecasting algorithm based on Hu moments, and belongs to the technical field of meteorological forecasting. In the algorithm, cloud growth regions and vanishing regions are the objects matched by a cloud cluster contour matching algorithm based on Hu moments; and the cloud contour matching algorithm based on Hu moments and a differential cloud cluster extrapolation algorithm are adopted, finally, that the data representativeness of a high reflectance region is always higher than that of a low reflectance region is comprehensively considered, an extrapolated image is mainly compared with a real image, and the similarity is weighted and summed to obtain the comprehensive similarity. The algorithm is high in speed and high in recognition, provides a good description of the shape of a cloud cluster, and has a high accuracy and efficiency in the shape recognition of the cloud cluster.

Description

technical field [0001] The invention relates to a difference cloud cluster extrapolation rainfall prediction algorithm based on Hu moments, belonging to the technical field of meteorological prediction. Background technique [0002] In terms of meteorology, short-term strong convective weather is sudden and destructive, and it is often accompanied by disastrous weather such as thunderstorms, strong winds, tornadoes, and heavy rains, which not only poses a great threat to the safety of people's lives and property, but also Serious disruption to normal economic activities. Therefore, it is of great significance to study the prediction of strong convective weather, especially heavy precipitation. With the further improvement of China's new-generation Doppler weather radar observation network and its complete operation, how to use these generated radar data to comprehensively analyze the trend characteristics of strong convective weather and make predictions based on this It b...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/95G01W1/10
CPCG01S13/95G01W1/10Y02A90/10
Inventor 黄金贵王胜春李亚尹丹
Owner HUNAN NORMAL UNIVERSITY
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